Information measure based stochastic system identification of ATM network traffic
نویسندگان
چکیده
For ATM network traffic, a new approach based on the Kullback-Leibler information measure is proposed for stochastic system identification of packet traffic. Thus approach, equivalent to the maximum marginal likelihood estimate, can overcome the over-modeling problem in [II such that much more parsimonious model order N can be obtained, and then can lead significant reduction in the latter queueing analysis involving in O(N3) computational complexity. A practical case study is provided for a set of Internet traffic data.
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